Abstract
In this paper, we present a novel computer vision based human motion capture approach by human body reconstruction process and energy function minimizing. After analyzing 3D human model in detail, we conduct human motion capturing by four steps, which are 1) Capturing the video, 2) Recognizing human feature points, 3) Tracking the feature points, and 4) Representing the motion movement. To test the effectiveness of the proposed approach, we conduct experiments on HumanEva dataset under four metrics. Experimental results show that our approach can capture human motion precisely.
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© 2013 Springer-Verlag Berlin Heidelberg
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Yong-sheng, W. (2013). An Efficient Approach for Computer Vision Based Human Motion Capture. In: Du, Z. (eds) Proceedings of the 2012 International Conference of Modern Computer Science and Applications. Advances in Intelligent Systems and Computing, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33030-8_111
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DOI: https://doi.org/10.1007/978-3-642-33030-8_111
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33029-2
Online ISBN: 978-3-642-33030-8
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